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Senior AI & Machine Learning Engineer with 7+ years of experience building production AI solutions, scalable data pipelines and machine learning systems using Python. Strong hands-on experience with LLMs, RAG, LangChain, embeddings, semantic search, vector databases, NLP and model fine-tuning. Experienced in taking AI solutions from data preparation and knowledge ingestion through model development, evaluation, optimization and cloud deployment. Proven track record building production GenAI applications, processing 10M+ records, supporting 1M+ daily queries, and improving AI accuracy, relevance, and inference performance. Strong focus on reliable, scalable AI infrastructure and production-ready solutions.…Senior AI & Machine Learning Engineer with 7+ years of experience building production AI solutions, scalable data pipelines and machine learning systems using Python. Strong hands-on experience with LLMs, RAG, LangChain, embeddings, semantic search, vector databases, NLP and model fine-tuning. Experienced in taking AI solutions from data preparation and knowledge ingestion through model development, evaluation, optimization and cloud deployment. Proven track record building production GenAI applications, processing 10M+ records, supporting 1M+ daily queries, and improving AI accuracy, relevance, and inference performance. Strong focus on reliable, scalable AI infrastructure and production-ready solutions.

Benjamin Jodoin

AI Trainer, AI Strategy Consultant, AI Prompt Engineer, +2

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Senior AI & Machine Learning Engineer with 7+ years of experience building production AI solutions, scalable data pipelines and machine learning systems using Python. Strong hands-on experience with LLMs, RAG, LangChain, embeddings, semantic search, vector databases, NLP and model fine-tuning. Experienced in taking AI solutions from data preparation and knowledge ingestion through model development, evaluation, optimization and cloud deployment. Proven track record building production GenAI applications, processing 10M+ records, supporting 1M+ daily queries, and improving AI accuracy, relevance, and inference performance. Strong focus on reliable, scalable AI infrastructure and production-ready solutions.…Senior AI & Machine Learning Engineer with 7+ years of experience building production AI solutions, scalable data pipelines and machine learning systems using Python. Strong hands-on experience with LLMs, RAG, LangChain, embeddings, semantic search, vector databases, NLP and model fine-tuning. Experienced in taking AI solutions from data preparation and knowledge ingestion through model development, evaluation, optimization and cloud deployment. Proven track record building production GenAI applications, processing 10M+ records, supporting 1M+ daily queries, and improving AI accuracy, relevance, and inference performance. Strong focus on reliable, scalable AI infrastructure and production-ready solutions.

Available to hire

Senior AI & Machine Learning Engineer with 7+ years of experience building production AI
solutions, scalable data pipelines and machine learning systems using Python. Strong hands-on
experience with LLMs, RAG, LangChain, embeddings, semantic search, vector databases, NLP and
model fine-tuning. Experienced in taking AI solutions from data preparation and knowledge
ingestion through model development, evaluation, optimization and cloud deployment.
Proven track record building production GenAI applications, processing 10M+ records,
supporting 1M+ daily queries, and improving AI accuracy, relevance, and inference performance.
Strong focus on reliable, scalable AI infrastructure and production-ready solutions.

Skills

Python

Prompt Engineering

Experience Level

Python

Expert

Prompt Engineering

Expert

Work Experience

GenAI & LLM Engineer at Dust

September 1, 2025 - June 1, 2026

Developed and maintained Python-based backend services powering a production GenAI enterprise chatbot to automate customer support workflows. Designed and implemented RAG and semantic-search pipelines using FAISS to improve answer relevance and reduce hallucinations. Built scalable ETL and data-processing pipelines handling 10M+ records for real-time AI inference. Integrated LLM and transformer-based capabilities into production through reliable API-driven backend workflows, optimizing inference and embedding processes to reduce latency. Fine-tuned transformer models using domain-specific datasets to improve response accuracy. Collaborated with engineering and product stakeholders to translate requirements into scalable GenAI functionality. Managed and mentored a team of 6 data scientists and ML engineers using Agile delivery practices.

Team Lead & Machine Learning Engineer at Cognizant

August 1, 2021 - July 1, 2025

Built and maintained scalable Python-based AI services and backend systems for high-volume production workloads. Developed an LLM-powered semantic search platform supporting 1M+ queries per day with sub-second response latency. Delivered NLP services for text classification and entity recognition using transformer architectures including BERT and GPT-style models. Developed production computer vision services using CNN architectures (~92% accuracy). Containerized and deployed ML applications using Docker and AWS to support scalable and fault-tolerant environments. Improved model performance by 20% through hyperparameter optimization, data augmentation, and systematic evaluation. Worked closely with data, engineering, and labeling teams to improve quality, reliability, and dataset robustness, leading delivery and mentoring a team of 6 junior developers across Agile cycles.

Python Developer at Scale AI

July 1, 2018 - June 1, 2021

Developed Python applications, automation scripts, and data-processing pipelines for large-scale machine learning and analytics workloads. Built Python and SQL pipelines for processing and transforming large datasets. Developed NLP solutions for sentiment analysis, document classification, and text mining. Created predictive analytics and forecasting solutions supporting business intelligence applications. Developed interactive dashboards and reporting tools for data-driven decision-making. Collaborated across Agile development teams to deliver production AI and data solutions under tight deadlines.